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3 | 3 | [DX](https://getdx.com) is a developer intelligence platform used by engineering
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4 | 4 | leaders and platform engineers.
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5 | 5 |
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6 |
| -You can tag your Coder users in DX Data Cloud to filter and analyze user activity data to: |
| 6 | +DX uses metadata attributes to assign information to individual users. |
| 7 | +While it's common to segment users by `role`, `level`, or `geo`, it’s become increasingly |
| 8 | +common to use DX attributes to better understand usage and adoption of tools. |
7 | 9 |
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8 |
| -- Measure adoption and impact |
9 |
| -- Identify feature usage patterns |
| 10 | +You can create a `Coder` attribute in DX to segment and analyze the impact of Coder usage on a developer’s work, including: |
| 11 | + |
| 12 | +- Understanding the needs of power users or low Coder usage across the org |
| 13 | +- Correlate Coder usage with qualitative and quantitative engineering metrics, |
| 14 | + such as PR throughput, deployment frequency, deep work, dev environment toil, and more. |
10 | 15 | - Personalize user experiences
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11 |
| -- Proactively address issues |
12 | 16 |
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13 | 17 | ## Requirements
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14 | 18 |
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15 |
| -- A DX Data Cloud subscription |
| 19 | +- A DX subscription |
16 | 20 | - Access to Coder user data through the Coder CLI, Coder API, an IdP, or an existing Coder-DX integration
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17 |
| -- Coordination with your Data Cloud Customer Success Manager |
| 21 | +- Coordination with your DX Customer Success Manager |
18 | 22 |
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19 | 23 | ## Extract Your Coder User List
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20 | 24 |
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@@ -63,25 +67,17 @@ This is particularly useful if you need additional user attributes managed withi
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63 | 67 |
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64 | 68 | </div>
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65 | 69 |
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66 |
| -## Engage your DX Data Cloud Customer Success Manager |
67 |
| - |
68 |
| -Provide the file to your dedicated DX Data Cloud Customer Success Manager (CSM). |
69 |
| - |
70 |
| -Your CSM will: |
| 70 | +## Contact your DX Customer Success Manager |
71 | 71 |
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72 |
| -1. Import the CSV file into the Data Cloud platform |
73 |
| -1. Associate Coder user identifiers with corresponding records in your Data Cloud environment |
74 |
| -1. Create the necessary links between your Coder users and their activity data |
| 72 | +Provide the file to your dedicated DX Customer Success Manager (CSM). |
75 | 73 |
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76 |
| -## Use Coder as a Data Cloud Filter |
| 74 | +Your CSM will import the CSV of individuals using Coder, as well as usage frequency (if applicable) into DX to create a `Coder` attribute. |
77 | 75 |
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78 |
| -After the tagging process is complete, you'll have a **Coder** filter option within your Data Cloud dashboards, |
79 |
| -reports, and analysis tools that you can use to: |
| 76 | +After the attribute is uploaded, you'll have a Coder filter option within your DX reports allowing you to: |
80 | 77 |
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81 |
| -- Segment your data based on Coder usage |
82 |
| -- Filter by additional user attributes that are included in your CSV file |
83 |
| -- Perform granular analysis on specific segments of your Coder user base |
| 78 | +- Perform cohort analysis (Coder user vs non-user) |
84 | 79 | - Understand unique behaviors and patterns across your Coder users
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| 80 | +- Run a [study](https://getdx.com/studies/) or setup a [PlatformX](https://getdx.com/platformx/) event for deeper analysis |
85 | 81 |
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86 | 82 | ## Related Resources
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87 | 83 |
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